Learning to Love Data Science

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Learning to Love Data Science Front Cover

Learning to Love Data Science

by Mike Barlow
  • Length: 162 pages
  • Edition: 1
  • Publisher: O’Reilly Media
  • Publication Date: 2015-11-21
  • ISBN-10: 1491936584
  • ISBN-13: 9781491936580
  • Sales Rank: #204988 (See Top 100 Books)

Until recently, many people thought big data was a passing fad. “Data science” was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse.

Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches.

With this anthology, you’ll learn how:

  • Analysts can now get results from their data queries in near real time
  • Indie manufacturers are blurring the lines between hardware and software
  • Companies try to balance their desire for rapid innovation with the need to tighten data security
  • Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center
  • CIOs have gradually evolved from order takers to business innovators
  • New analytics tools let businesses go beyond data analysis and straight to decision-making

Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.

Table of Contents

Chapter 1. The Culture of Big Data Analytics
Chapter 2. Data and Social Good
Chapter 3. Will Big Data Make IT Infrastructure Sexy Again?
Chapter 4. When Hardware Meets Software
Chapter 5. Real-Time Big Data Analytics
Chapter 6. Big Data and the Evolving Role of the CIO
Chapter 7. Building Functional Teams for the IoT Economy
Chapter 8. Predictive Maintenance: A World of Zero Unplanned Downtime
Chapter 9. Can Data Security and Rapid Business Innovation Coexist?
Chapter 10. The Last Mile of Analytics: Making the Leap from Platforms to Tools

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